Video-Based Codec Optimization

Basic info about Effective Video Transcoding

For almost 14 years, Lomonosov MSU Graphics&Media Lab's video group has been conducting video codecs comparisons. We know that almost always there is a possibility to find efficient encoding options for every video. We did a great study and learned how to determine optimal codec settings for a large number of video classes. After comparing our encoding options for x264 to the 2015 and 2016 comparisons' options and standard ones, we received very interesting and promising results.

These results are valuable for options giving the same or better objective quality of encoded video and the same or higher encoding speed comparing to standard presets. Thus, we can provide optimal encoding settings that will be a part of pareto optimal RD-curve, that is "shifted" from given encoder options.

We developed a way to find optimal encoding settings for a large number of video classes

Percentage of file size reduction in average for a representative dataset of 77 videos:

Public MSU video filters
Here are available VirtualDub and AviSynth filters.
For a given type of digital video filtration we typically develop a
family of different algorithms and implementations.
Generally there are also versions optimized for PC and hardware
implementations (ASIC/FPGA/DSP). These optimized versions can be
licensed to companies. Please contact us for details via
video(at)graphics.cs.msu_ru.

Filters for companies
We are working with Intel, Samsung, RealNetworks and other companies on
adapting our filters other video processing algorithms for specific
video streams, applications and hardware like TV-sets, graphics cards,
etc. Some of such projects are non-exclusive. Also we have internal
researches. Please let us know via video(at)graphics.cs.msu_ru if you are interested
in acquiring a license for such filters or making a custom R&D project
on video processing, compression, computer vision.